TryRobe
AI virtual try-on platform and API for fashion ecommerce
What it does
TryRobe helps people virtually try clothing, sarees, jewellery, and accessories while giving fashion ecommerce brands a secure AI virtual try-on API.
Help shoppers picture the product on themselves, reduce purchase hesitation, and give ecommerce teams a secure white-label API for realistic clothing, jewellery, and accessory try-ons. See the product, the original portrait, and the resulting look together. The identity, scene, and composition stay grounded in the person image while the wearable product is transferred. TryRobe gives ecommerce owners a practical way to add virtual try-on without building image storage, credit logic, queue workers, payments, analytics, or API docs from scratch. Bring try-on directly into product discovery so the customer can picture the look before checkout. Lock credits before generation, capture only on…from tryrobe.in
Does the same job
all alternatives →
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com